精准棉花病害管理：融合无人机影像与定制YOLO深度学习框架
提出轻量化检测器Cotton-Vision，用无人机影像精准识别棉花病害。
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智慧农业 目标检测
IMPLEMENTATION OF META-HEURISTIC OPTIMIZATION ALGORITHMS IN CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION AND CLASSIFICATION
综述元启发式算法嵌入CNN流程以优化目标检测与分类的研究进展。
Peach-YOLO:基于改进YOLOv8与多注意力融合的复杂环境桃实时检测方法
提出Peach-YOLO改进YOLOv8n模型，实现复杂环境下桃果实实时检测。
Enhanced YOLOv8n for adhered leaf cluster detection in RGB-based fresh green tea leaf sorting
提出改进YOLOv8n模型SDSI-YOLO，实现鲜茶叶粘连叶簇的高精度检测。
Detection of mounting behavior and mounted ewes in group-housed environments using HSM-YOLO algorithm
提出HSM-YOLO算法，在群养环境下检测羊爬跨行为及被爬跨母羊，用于发情监测。
多尺度异构特征协同的棉花叶片病害检测模型(Multi-Scale Heterogeneous Synergistic Model for Cotton Leaf Disease Detection)
提出MHSF-DETR棉花叶片病害检测模型，提升精度并降低参数量与计算量。
Enhancing Long-Tailed Macaque Pest Identification Using a Two-Stage YOLO-EfficientNet Pipeline
用YOLOv8+EfficientNet-B0两阶段流水线识别长尾猕猴，提升玉米田驱猴系统检测精度。
BMC Plant Biology 2026-10-03 Zhu Hongyan et al. Guangxi Normal Univ & Zhejiang Univ·10月3日 · 周六79 分 论文农业人工智能与决策模型阅读 3
Lightweight AI Gives Harvesting Robots a Sharper Eye for Green Jujubes
研发协作感知框架，让青枣采摘机器人精准识别与定位果实。
DGF-YOLOv12n-LiteP2: Dynamic Gated Local-Context Fusion with a High-Resolution Detection Head for Cattle Body-Part Detection in Complex Barns（基于YOLOv12n动态门控局部上下文融合的复杂牛舍牛体部位检测）
提出DGF-YOLOv12n-LiteP2，实现复杂牛舍场景下牛体部位高精度检测。
基于改进YOLOv8的火龙果采摘机器人系统设计与研究
提出改进YOLOv8火龙果检测算法并集成六自由度采摘机器人系统，完成田间验证。
基于改进YOLOv8n的番茄果实检测模型
提出改进YOLOv8n番茄果实检测模型，提升采摘机器人识别精度与速度。
A collaborative perception framework for green jujube: from lightweight key point detection to posture-aware harvest analysis
提出RDA-YOLO与SAM2协同感知框架，实现青枣采摘点定位与姿态分析。
YOLOv8-MST: a lightweight and efficient real-time detection and counting deep learning algorithm for double-grain peanut seeding
提出YOLOv8-MST轻量算法，实现双粒花生播种实时检测与计数。
MSO-Det: A multi-level synergistic optimization framework for robust spike object detection in field scenes
提出MSO-Det多级协同优化框架，用于田间场景下鲁棒的穗部目标检测。
Orchard worker detection using spatial-context attention on 2D LiDAR data
Orchard worker detection using spatial-context attention on 2D LiDAR data。Biosystems Engineering
Real-Time Detection and Yield Estimation of Rosa damascena Using YOLOv10-N: A Case Study in the Dades Oasis, Drâa-Tafilalet, Southeastern Morocco
用YOLOv10-N实时检测大马士革玫瑰并基于花数估算产量。
Simultaneous Maturity Recognition and Yield Counting of Truss and Individual Tomatoes Using Improved YOLOv8-EME and Optimized ByteTrack Tracker
提出改进YOLOv8-EME与ByteTrack结合的番茄检测计数系统，可同时识别串收与单果成熟度并
PB-DETR：群养生猪多行为识别的自适应液体神经网络编码器与动态监督框架
提出PB-DETR框架，实现群养生猪多行为识别，mAP达0.893。
Deep Learning-Based Small-Object Detection in UAV Imagery: A Symmetry-Informed Review of Scale Variation and Scenario Constraints
综述无人机图像小目标检测的深度学习研究，提出对称性视角与三层框架。
A tomato maturity detection method against occlusion and variable illumination
提出一种抗遮挡和光照变化的番茄成熟度检测方法。